Azure DevSecOps Engineer

Job Summary

A company is looking for an Azure DevSecOps Engineer (AI/ML Platforms).

Key Responsibilities

• Implement DevSecOps practices across CI/CD pipelines for AI/ML workloads
• Secure Kubernetes environments, including RBAC, network policies, and secrets management
• Partner with teams to enforce secure MLOps practices and drive governance standards

Required Qualifications

• Strong experience with Azure DevOps, CI/CD, and DevSecOps practices
• Hands-on expertise with Kubernetes security and Azure cloud security controls
• Experience securing AI/ML platforms such as Azure ML and Databricks
• Knowledge of identity and access management, networking, and vulnerability management